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--- |
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base_model: textattack/albert-base-v2-imdb |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: nosql-identifier-albert |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# nosql-identifier-albert |
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This model is a fine-tuned version of [textattack/albert-base-v2-imdb](https://huggingface.co/textattack/albert-base-v2-imdb) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4351 |
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- Accuracy: 0.9 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 40 | 0.4383 | 0.8 | |
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| No log | 2.0 | 80 | 0.3771 | 0.875 | |
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| No log | 3.0 | 120 | 0.2954 | 0.9 | |
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| No log | 4.0 | 160 | 0.3746 | 0.85 | |
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| No log | 5.0 | 200 | 0.4419 | 0.875 | |
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| No log | 6.0 | 240 | 0.4913 | 0.825 | |
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| No log | 7.0 | 280 | 0.4602 | 0.875 | |
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| No log | 8.0 | 320 | 0.4185 | 0.925 | |
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| No log | 9.0 | 360 | 0.5439 | 0.875 | |
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| No log | 10.0 | 400 | 0.4071 | 0.9 | |
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| No log | 11.0 | 440 | 0.5948 | 0.85 | |
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| No log | 12.0 | 480 | 0.5412 | 0.875 | |
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| 0.2697 | 13.0 | 520 | 0.5105 | 0.9 | |
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| 0.2697 | 14.0 | 560 | 0.4590 | 0.9 | |
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| 0.2697 | 15.0 | 600 | 0.4351 | 0.9 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.13.1 |
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- Tokenizers 0.11.0 |
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